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📘 Welcome to Part 209 of Code & Debug’s DSA in Python Course! In this video, we go beyond LCS length and actually print one Longest Common Subsequence between two strings. The strategy is in two clean phases: first, we build the classic LCS DP table of lengths; then we backtrack from the bottom-right to reconstruct a valid LCS by following matches and choosing the direction of larger subproblems when characters don’t match. This approach is robust, interview-ready, and easy to code. 🔗 Article – Print the Longest Common Subsequence: https://codeanddebug.in/blog/print-the-longest-common-subsequence/ 📄 FULL Playlist Sheet (All Videos in Order): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll Free: Master Python DSA Course https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Advance Python DSA for FAANG (Zero to Hero Course) https://codeanddebug.in/course/zero-to-hero-python-dsa Stay focused and keep coding with Code & Debug. Like | Share | Subscribe | Hit the 🔔 #LCS #PrintLCS #LongestCommonSubsequence #StringDP #DynamicProgramming #Backtracking #Tabulation #PythonDSA #CodeAndDebug #Part209 #InterviewPrep
